The design and control of autonomous systems that operate in uncertain or adversarial
environments can be facilitated by formal modeling and analysis. Probabilistic model …

Probabilistic model checking is a powerful technique for formally verifying quantitative
properties of systems that exhibit stochastic behaviour. Such systems are found in many …

This paper describes a major new release of the PRISM probabilistic model checker,
adding, in particular, quantitative verification of (priced) probabilistic timed automata. These …

The authors present an extension to the pyramid approach to image fusion. The
modifications address problems that were encountered with past implementations of …

Continuous-time Markov chains (CTMCs) have been widely used to determine system
performance and dependability characteristics. Their analysis most often concerns the …

The formal analysis of critical systems is supported by a vast space of modelling formalisms
and tools. The variety of incompatible formats and tools however poses a significant …

The model-checking approach was originally formulated for verifying qualitative properties
of systems, for example safety and liveness (see Chap. 2), and subsequently extended to …

Even with the help of powerful metamodeling frameworks, the development of domain-
specific graphical modeling tools is usually a complex, repetitive, and tedious task, which …

The theory of hybrid systems is well-established as a model for real-world systems
consisting of continuous behaviour and discrete control. In practice, the behaviour of such …

Probabilistic timed automata, a variant of timed automata extended with discrete probability
distributions, is a modelling formalism suitable for describing formally both nondeterministic …